Python Deep Learning (Paperback)
  • Python Deep Learning (Paperback)
zoom

Python Deep Learning (Paperback)

(author), (author), (author), (author)
£36.99
Paperback 406 Pages / Published: 28/04/2017
  • We can order this

Usually dispatched within 2 weeks

  • This item has been added to your basket
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. About This Book * Explore and create intelligent systems using cutting-edge deep learning techniques * Implement deep learning algorithms and work with revolutionary libraries in Python * Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more Who This Book Is For This book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired. What You Will Learn * Get a practical deep dive into deep learning algorithms * Explore deep learning further with Theano, Caffe, Keras, and TensorFlow * Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines * Dive into Deep Belief Nets and Deep Neural Networks * Discover more deep learning algorithms with Dropout and Convolutional Neural Networks * Get to know device strategies so you can use deep learning algorithms and libraries in the real world In Detail With an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries. The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results. Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques. Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside. Style and approach Python Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.

Publisher: Packt Publishing Limited
ISBN: 9781786464453
Number of pages: 406
Weight: 694 g
Dimensions: 235 x 191 x 21 mm

You may also be interested in...

Enterprise Data Architecture
Added to basket
The Elements of Statistical Learning
Added to basket
Data Mining For Dummies
Added to basket
Doing Data Science
Added to basket
£35.99
Paperback
Data Science for Business
Added to basket
Practical Data Science with R
Added to basket
Data Mining Techniques
Added to basket
Mining the Social Web
Added to basket
Web Data Mining
Added to basket
£54.99
Hardback
Sentiment Analysis and Opinion Mining
Added to basket
Data Analysis Using SQL and Excel
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.